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ORCIDAngel Yanguas-Gil
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2020 – today
- 2023
[j3]Megan M. Baker
, Alexander New, Mario Aguilar-Simon, Ziad Al-Halah, Sébastien M. R. Arnold, Eseoghene Ben-Iwhiwhu, Andrew P. Brna, Ethan Brooks, Ryan C. Brown, Zachary Daniels, Anurag Reddy Daram, Fabien Delattre, Ryan Dellana, Eric Eaton, Haotian Fu, Kristen Grauman, Jesse Hostetler, Shariq Iqbal, Cassandra Kent, Nicholas Ketz, Soheil Kolouri, George Konidaris, Dhireesha Kudithipudi, Erik G. Learned-Miller, Seungwon Lee, Michael Littman, Sandeep Madireddy, Jorge A. Mendez, Eric Q. Nguyen, Christine D. Piatko, Praveen K. Pilly, Aswin Raghavan, Abrar Rahman, Santhosh Kumar Ramakrishnan, Neale Ratzlaff, Andrea Soltoggio, Peter Stone, Indranil Sur, Zhipeng Tang, Saket Tiwari, Kyle Vedder, Felix Wang, Zifan Xu, Angel Yanguas-Gil, Harel Yedidsion, Shangqun Yu, Gautam K. Vallabha:
A domain-agnostic approach for characterization of lifelong learning systems. Neural Networks 160: 274-296 (2023)- [c8]Sandeep Madireddy, Angel Yanguas-Gil, Prasanna Balaprakash:
Improving Performance in Continual Learning Tasks using Bio-Inspired Architectures. CoLLAs 2023: 992-1008 - [c7]Yuming Liu, Angel Yanguas-Gil, Sandeep Madireddy, Yanjing Li:
Memristor-Spikelearn: A Spiking Neural Network Simulator for Studying Synaptic Plasticity under Realistic Device and Circuit Behaviors. DATE 2023: 1-6 - [i10]Megan M. Baker, Alexander New, Mario Aguilar-Simon, Ziad Al-Halah, Sébastien M. R. Arnold, Eseoghene Ben-Iwhiwhu, Andrew P. Brna, Ethan Brooks, Ryan C. Brown, Zachary Daniels, Anurag Reddy Daram, Fabien Delattre, Ryan Dellana, Eric Eaton, Haotian Fu, Kristen Grauman, Jesse Hostetler, Shariq Iqbal, Cassandra Kent, Nicholas Ketz, Soheil Kolouri, George Dimitri Konidaris, Dhireesha Kudithipudi, Erik G. Learned-Miller, Seungwon Lee, Michael Littman, Sandeep Madireddy, Jorge A. Mendez, Eric Q. Nguyen, Christine D. Piatko, Praveen K. Pilly, Aswin Raghavan, Abrar Rahman, Santhosh Kumar Ramakrishnan, Neale Ratzlaff, Andrea Soltoggio, Peter Stone, Indranil Sur, Zhipeng Tang, Saket Tiwari, Kyle Vedder, Felix Wang, Zifan Xu, Angel Yanguas-Gil, Harel Yedidsion, Shangqun Yu, Gautam K. Vallabha:
A Domain-Agnostic Approach for Characterization of Lifelong Learning Systems. CoRR abs/2301.07799 (2023) - [i9]Angel Yanguas-Gil, Sandeep Madireddy:
AutoML for neuromorphic computing and application-driven co-design: asynchronous, massively parallel optimization of spiking architectures. CoRR abs/2302.13210 (2023) - [i8]Sandeep Madireddy, Angel Yanguas-Gil, Prasanna Balaprakash:
Improving Performance in Continual Learning Tasks using Bio-Inspired Architectures. CoRR abs/2308.04539 (2023) - [i7]Dhireesha Kudithipudi, Anurag Reddy Daram, Abdullah M. Zyarah, Fatima Tuz Zohora, James B. Aimone, Angel Yanguas-Gil, Nicholas Soures, Emre Neftci, Matthew Mattina, Vincenzo Lomonaco, Clare D. Thiem, Benjamin R. Epstein:
Design Principles for Lifelong Learning AI Accelerators. CoRR abs/2310.04467 (2023) - 2022
- [j2]Dhireesha Kudithipudi, Mario Aguilar-Simon, Jonathan Babb, Maxim Bazhenov, Douglas Blackiston, Josh C. Bongard, Andrew P. Brna, Suraj Chakravarthi Raja, Nick Cheney, Jeff Clune, Anurag Reddy Daram, Stefano Fusi, Peter Helfer, Leslie Kay, Nicholas Ketz, Zsolt Kira, Soheil Kolouri, Jeffrey L. Krichmar, Sam Kriegman, Michael Levin, Sandeep Madireddy, Santosh Manicka, Ali Marjaninejad, Bruce McNaughton, Risto Miikkulainen, Zaneta Navratilova, Tej Pandit, Alice Parker, Praveen K. Pilly, Sebastian Risi, Terrence J. Sejnowski, Andrea Soltoggio, Nicholas Soures, Andreas S. Tolias, Darío Urbina-Meléndez, Francisco J. Valero Cuevas, Gido M. van de Ven, Joshua T. Vogelstein, Felix Wang, Ron Weiss, Angel Yanguas-Gil, Xinyun Zou, Hava T. Siegelmann:
Biological underpinnings for lifelong learning machines. Nat. Mach. Intell. 4(3): 196-210 (2022) - [c6]Angel Yanguas-Gil, Sandeep Madireddy:
AutoML for neuromorphic computing and application-driven co-design: asynchronous, massively parallel optimization of spiking architectures. ICRC 2022: 24-29 - [i6]Angel Yanguas-Gil, Jeffrey W. Elam:
Machine learning and atomic layer deposition: predicting saturation times from reactor growth profiles using artificial neural networks. CoRR abs/2205.08378 (2022) - [i5]Angel Yanguas-Gil, Sandeep Madireddy:
General policy mapping: online continual reinforcement learning inspired on the insect brain. CoRR abs/2211.16759 (2022) - 2021
- [c5]Julian Cagnazzo, Osama Sam Abuomar, Angel Yanguas-Gil, Jeffrey W. Elam:
Atomic Layer Deposition Optimization Using Convolutional Neural Networks. CSCI 2021: 228-232 - [i4]Angel Yanguas-Gil:
Fast, Smart Neuromorphic Sensors Based on Heterogeneous Networks and Mixed Encodings. CoRR abs/2104.04121 (2021) - 2020
- [c4]Angel Yanguas-Gil:
Coarse scale representation of spiking neural networks: backpropagation through spikes and application to neuromorphic hardware. ICONS 2020: 2:1-2:7 - [i3]Angel Yanguas-Gil:
Coarse scale representation of spiking neural networks: backpropagation through spikes and application to neuromorphic hardware. CoRR abs/2007.06176 (2020) - [i2]Sandeep Madireddy, Angel Yanguas-Gil, Prasanna Balaprakash:
Multilayer Neuromodulated Architectures for Memory-Constrained Online Continual Learning. CoRR abs/2007.08159 (2020)
2010 – 2019
- 2019
- [c3]Sandeep Madireddy, Angel Yanguas-Gil, Prasanna Balaprakash:
Neuromorphic Architecture Optimization for Task-Specific Dynamic Learning. ICONS 2019: 5:1-5:5 - [c2]Anurag Reddy Daram, Dhireesha Kudithipudi, Angel Yanguas-Gil:
Task-Based Neuromodulation Architecture for Lifelong Learning. ISQED 2019: 191-197 - [i1]Sandeep Madireddy, Angel Yanguas-Gil, Prasanna Balaprakash:
Neuromorphic Architecture Optimization for Task-Specific Dynamic Learning. CoRR abs/1906.01668 (2019) - 2018
- [j1]Alvaro Rodríguez-Prieto, Ana María Camacho, Ana M. Aragon, Miguel Angel Sebastián, Angel Yanguas-Gil:
Polymers Selection for Harsh Environments to Be Processed Using Additive Manufacturing Techniques. IEEE Access 6: 29899-29911 (2018) - [c1]Angel Yanguas-Gil:
Going Small: Using the Insect Brain as a Model System for Edge Processing Applications. ACM Great Lakes Symposium on VLSI 2018: 373-378
Coauthor Index
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